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CONNECTION
2004
94views more  CONNECTION 2004»
13 years 7 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
AAAI
2008
13 years 10 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
A simulation of evolved autotrophic reproduction
In this experiment we evolve reproductive behaviors for a simulated vehicle. Future work will employ the resulting behaviors to populate a simulated ecosystem. Categories and Subj...
Correy Allen Kowall, Brian J. Krent
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 1 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
SCAI
2008
13 years 9 months ago
Towards Automatic Model Generation by Optimization
The problem of automatically selecting simulation models for autonomous agents depending on their current intentions and beliefs is considered in this paper. The intended use of t...
Per Nyblom, Patrick Doherty